In this new Era the growing Vehicle population in all developing and developed country calls for a major improvement and innovation in the existing Traffic control systems. This goal of this paper is to model a system that uses an efficient traffic light system to control autonomous vehicles at intersections and also gives priority to emergency vehicles. The optimized traffic control system for vehicles are intelligent, the traffic light agents are reinforced using Q-Learning. The most widely used automated system uses a simple time based system which working on a time interval basis which is now inefficient for random and non-uniform Traffic. The system assigns the emergency vehicles a separate lane in the network. The system will detect and identify vehicles that exceed the maximum authorized speed limit on selected carriageways, and is capable to grant priority to selected vehicles (e.g. Public Transport (PT), Emergency Vehicles) at an intersection controlled by some form of traffic signals. The system helps to enhance traffic control system and management and its technology senses presence of Traffic near any junction and then able to route the Traffic based on Traffic availability. This system does not require any system in vehicles so can be implemented in any Traffic system quite easily with less time and less expensive also
- Page(s): 01-04
- Date of Publication: 31 August 2022
- Obayi Adaora Angela Department of Computer Science, University of Nigeria, Nsukka (UNN),
- Sunday Ebenezer Fagbuaro Department of Computer Science, University of Nigeria, Nsukka (UNN),
- Ajayi Taiwo David Department of Computer Science, University of Nigeria, Nsukka (UNN),
- Barnabas Bundepuun Orndiir Department of Computer Science, University of Nigeria, Nsukka (UNN),
- Nwaorgu Raymond Department of Computer Science, University of Nigeria, Nsukka (UNN),
References
[1] Fernando Losilla 1,*, Antonio-Javier Garcia-Sanchez 1, Felipe Garcia-Sanchez 1,Joan Garcia-Haro 1 and Zygmunt J. Haas 2” A Comprehensive Approach to WSN-Based ITS Applications: A Survey” Sensors 2011, 11, 10220-10265; doi:10.3390/s111110220 [2] Pallavi A.M, Vilas Kharat , C.Y.P., (2018). Intelligent transportation systems-problems and perspectives (Vol. 303). Springer International Publishing. [3] Wolfgang Lutz, Warren Sanderson, and Sergei Scherbov. The end of world population growth. Nature, 412(6846):543{545, 2001. [4] Suresh Pandian, Sharad Gokhale, and Aloke Kumar Ghoshal. Evaluating e_ects of tra_c and vehicle characteristics on vehicular emissions near 71 tra_c intersections. Transportation Research Part D: Transport and Environment, 14(3):180{196, 2009. [5] Itamar Arel, Cong Liu, T Urbanik, and AG Kohls. Reinforcement learning based multi-agent system for network tra_c signal control. Intelligent Transport Systems, IET, 4(2):128{135, 2010. [6] Yoav Shoham. Agent-oriented programming. Artificial intelligence, 60(1): 51{92, 1993. [7] Thuong Le-Tien, Vu Phung and Vietnam, 2010. Routing and Tracking System for Mobile Vehicles in Large Area, IEEE. [8] Martin L Puterman. Markov decision processes: discrete stochastic dynamic programming. John Wiley & Sons, 2014. [9] C. Lan and G. Chang, “A Traffic Signal Optimization Model for Intersections Experiencing Heavy Scooter – Vehicle Mixed Traffic Flows,” vol. 16, no. 4, pp. 1771–1783, 2015. [10] Shirazi, Mohammad Shokrolah, and Brendan Tran Morris. "Vision-based turning movement monitoring: count, speed & waiting time estimation." IEEE Intelligent Transportation Systems Magazine 8.1, pp. 23-34, 2016 [11] P. Y. P. Singh and U. P. Bijnor, “Analysis and Designing of Proposed Intelligent Road Traffic Congestion Control System with Image Mosaicking Technique,” International Journal of IT, Engineering and Applied Sciences Research (IJIEASR) vol. 2, no. 4, pp. 27–31, 2013. [12] A. Vu, S. Member, A. Ramanandan, A. Chen, J. A. Farrell, M. Barth, and S. Member, “Real-Time Computer Vision / DGPS-Aided Inertial Navigation System for Lane-Level Vehicle Navigation,” vol. 13, no. 2, pp. 899–913, 2012. [13] Y. C. S. Huang and L. F. P. Hsiao, “Vehicle detection and tracking under various lighting conditions using a particle filter,” no. May 2011, pp. 1–8, 2012. [14] H. Hajimolahoseini, H. Soltanian-Zadeh, and R. Amirfattahi, “Robust vehicle tracking algorithm for nighttime videos captured by fixed cameras in highly reflective environments,” IET Comput. Vis., vol. 8, no. 6, pp. 535–544, 2014. [15] Sameh Samra, Ahmed El-Mahdy, and Yasutaka Wada. A linear time and space algorithm for optimal traffic-signal duration at an intersection. Intelligent Transportation Systems, IEEE Transactions on, 16(1):387{395, 2015. [16] Aleksandar Stevanovic, Jelka Stevanovic, Kai Zhang, and Stuart Batterman. Optimizing traffic control to reduce fuel consumption and vehicular emissions: Integrated approach with vissim, cmem, and visgaost. Transportation Research Record: Journal of the transportation research board, (2128):105{113, 2009. [17] Pavleen Singh Bali, Gautam Parjapati, Rishabh Aswal, Dr.A.K.Raghav and Neeraj Gupta. Intelligent traffic monitoring system” Progressive in science and engineering research journal. 2016
Edoka Romanus and Saliu, A. Mumuni, "Optimized Intelligent Traffic Control and Management System for Vehicle" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.11 issue 6, August 2022, pp.01-04 URL: https://ijltemas.in/DigitalLibrary/Vol.11Issue8/01-04.pdf
This study examined the efficiency, profitability and constraints that confront lowland rice farmers in Kogi State, Nigeria. A multi-stage random sampling procedure was used to collect primary data for the study. The first stage involved a purposive selection of two local government areas based on predominance of lowland rice production. The second stage involved a random selection of 8 villages. The final stage involved the random selection of one hundred and forty-nine (149) lowland rice-producing households from the villages selected. Data were analysed using descriptive statistics, Cobb-Douglas stochastic frontier production function and Gross Margin Analysis. The stochastic frontier production function was estimated for technical, allocative and economic efficiency. The results revealed technical efficiency range of 0.19 to 0.95. The mean estimate was 0.83. The efficiency distribution had shown that, about 83 percent of the lowland rice farmers attained between 0.61 and 1.00 efficiency levels, while 17% of the farmers operate at less than 0.6 efficiency levels. The result also indicates that, the average lowland rice farmer would realize about 35.79 percent in cost savings, if he or she was to attain the level of the most efficient farmer in the sample. The result further shows that there are allowances for the farmers to improve their efficiency by about 17 percent. The allocative efficiency estimates revealed that, the allocative distribution ranged from 0.21 to 1.00; the mean allocative efficiency was 0.81. The result indicates that average lowland rice farmer in the State would enjoy cost saving of about 20 percent if he or she attains the level of the most efficient farmer among the respondents. The most allocatively inefficient farmer will have an efficiency gain of 84 percent in certified rice seed production if he or she is to attain the efficiency level of most allocatively efficient farmer in the state. The study therefore suggests intensive efforts at expanding the present scope of lowland rice farming, given the estimated technical efficiency in the production system.
- Page(s): 05-10
- Date of Publication: 12 September 2022
- Saliu Hassan Onipe Department of Agricultural Education, Kogi State College of Education (Technical) Kabba, Kogi Sate, Nigeria
- Audu Yahaya Bajeh Department of Agricultural Education, Kogi State College of Education (Technical) Kabba, Kogi Sate, Nigeria
- Adejumobi Paul Olusegun Department of Agricultural Education, Kogi State College of Education (Technical) Kabba, Kogi Sate, Nigeria
References
[1] Abdullahi, A., Baba, K.M., Ala, A.L. (2012). Economics of Resource Use in Small-Scale Rice Production in Niger State, Nigeria. International Journal of Agricultural Science. 2(5):429-443 [2] Coelli, T., Rao, D. S. P., and Battese, G. E. (1998). An Introduction to Efficiency and Productivity Analysis. Kluwer Academic Publishers, Boston/Dordrecht/London. 9: 225-235. [3] Coelli, T., Rao, D.S.P., O’Donnell, C.J and Battese, G.E. (2005). An Introduction to Efficiency and Productivity Analysis. Springer Science and Business Media, New York. 343pp [4] Coelli, T.J (1995a). Estimators and Hypothesis Test for a Stochastic Frontier Function: A Monte Carlo Analysis. Journal of productivity analysis. (1) 6:247-268 [5] Coelli, T.J. (1992). A Computer Program for Frontier Production Function Estimation: FRONTIER, VERSION 2.0, Economics Letters, 39, 29-32 [6] Defoer, T., Woperus, T.C.S., Jones, P.R, Lancon, F., Erenstein, O. and Guei, R.G. (2004). Challenges and Technical Opportunities for Rice based Production Systems for Food Security and Poverty Alleviation in Sub-Saharan Africa. FAO Rice Conference, Rome, Italy.12-13th February. [7] Idiong, I.C. (2005). Evaluation of Technical, Allocative and Economic Efficiencies in Rice Production Systems in Cross River State, Nig. An unpublished PhD Thesis, University of Ibadan, Nigeria. [8] Kogi State Government (2007). Kogi State Economic Empowerment and Development Strategy (KOSEEDS). Retrieved from www.kogistateof Nigeria.org/preamble.pdf [9] Okoruwa, V.O., Ogundele,O. O. and Oyewusi,B. O.(2006). Efficiency and Productivity of Farmers in Nigeria: A Study of Rice Farmers in North Central Nigeria. Poster Paper Prepared for Presentation at the International Association of Agricultural Economists Conference, Gold Coast, Australia, August, 12-18 [10] Rahji, M.A.Y (2005): “Determinants of Efficiency Differentials in Lowland Rice Production Systems in Niger State. Nigeria.” Ibadan Journal of Agricultural Research 1(1) 7-17. [11] Seiford, L.M. (1996). Data Enveloment Analysis: The Evolution of the State of the Art (1978-1995). Journal of Productivity Analysis. 7: 99-138. [12] Seiford, L.M., and Thrall, R.M. (1990). Recent Developments in DEA: The Mathematical Approach to Frontier Analysis, Journal of Econometrics. 46: 7-8. [13] Singh, B. N., Fagade, S., Ukwungwu, M. N., William, C., Jagtap, S. S., Oladimeji, O., Effisue, A. and Okhidievbie, O. (1997). Rice-Growing Environments and Biophysical Constraints in Different Agro-ecological Zones of Nigeria. Meteorology Journal. 2 (1): 35-44.
Saliu Hassan Onipe, Audu Yahaya Bajeh, Adejumobi Paul Olusegun, "Efficiency and Profitability of Lowland Rice Production in Kogi State, Nigeria" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.11 issue 6, August 2022, pp.05-10 URL: https://ijltemas.in/DigitalLibrary/Vol.11Issue8/05-10.pdf
Jute knitted fabric was produced in knitting lab and was treated with natural and synthetic dust resistance compounds of perchloroethylene, wax, and mixers of vinegar and olive oil at different temperatures with contact of dust to develop anti-dust characteristics on jute knitted fabrics. It was found that at 80oC temperature, perchloro ethylene developed dust resistant property on jute knitted fabric whereas at 60oC, wax treatment improved a dust resistant property and in natural treatment at room temperature, spray of vinegar+olive oil improved dust resistant property as well
- Neaz Morshed Yarn & Fabrics Production Department, Technology Wing, Bangladesh Jute Research Institute, Bangladesh
- Zakaria Ahmed Department of Information Media Technology, Federal University of Technology, Minna, Niger State-Nigeria
- C.G. Onukwugha Weaving Department, Technology Wing, Bangladesh Jute Research Institute, Bangladesh.
- Ashraful Alam Mechanical Processing Division, Technology Wing, Bangladesh Jute Research Institute, Bangladesh.
- Fatema Nusrat Jahan Yarn & Fabrics Production Department, Technology Wing, Bangladesh Jute Research Institute, Bangladesh.
- Taslima Rahman Microbiology Department, Technology Wing, Bangladesh Jute Research Institute, Bangladesh.
References
[1] Alamac American Knits LLC. Knitting Basics. 2004; Archived from the original on 2007-02 27. Retrieved 2006-12-27. [2] Blair KB. Materials and design for sports apparel Materials in Sports Equipment, 2007; 2. [3] Chowdhury N, Sultana N, Iqbal MA, Kamal TB, Islam MA. Development and characterization of Knit Fabric from Jute Fibre. Saudi J Eng Technol. 2020; 5(10): 392-396. [4] David JS. Knitting Technology a comprehensive handbook and practical guide, Third edition, 1989; 11–12. [5] Felczak M, DeMey G, Więcek B, Michalak M. Lateral and PerpendicularThermal Conductivity Measurement on Textile Double Layers. 2015; Fibres & Textiles in Eastern Europe. [6] Gulati R, Sharma S, Sharma RK. Antimicrobial textile: recent developments and functional perspective. 2022; Polym. Bull. 79: 5747–5771. [7] Li Y, Dai DX. (Eds.). Biomechanical engineering of textiles and clothing. 2006; Woodhead Publishing. [8] Matković VMP, Cubric IS, Skenderi Z. Changes of the knitted fabric properties due to exposure to outdoor natural weathering. 2014; J Engin Fibers Fab. 9(4): 90. [9] Mobark ASA. Treatment of woven fabrics to enhance their anti-dust property. Degree of Doctor of Philosophy in Textile Engineering, 2017; Sudan University of Science and Technology, Sudan. 1-143. [10] Shogofurov S, Kamalova I and Xolikov K. Study of the effect of changes on the Technological and physical-mechanical properties of knitting in a new structure. 2021; Engineering, 13: 287-299. [11] Sela SK, Nayab-Ul-Hossain AKM, Rakib MSI, Niloy MKH. Improving the functionality of raw cotton: simultaneous strength increases and additional multi-functional properties. Heliyon 6.; e04607. [12] US Patent 3,023,192, Segmented copolyetherester elastomers. May 29, 1958, issued Feb 27, 1962. [13] World Health Organization (WHO). (Edited) Prüss A, Giroult E, Rushbrook P. Safe management of wastes from health-care activities. 1999.
Neaz Morshed, Zakaria Ahmed, Ashraful Alam, Fatema Nusrat Jahan and Taslima Rahman, "Improvement of Dust Resistance Properties on The Surface of Jute Knitted Fabrics" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.11 issue 6, August 2022, pp.11-16 DOI: https://dx.doi.org/10.51583/IJLTEMAS.2022.11801
The swift rise of the average global temperature, as a result of the increasing rates of greenhouse gas emission, is an issue that most countries around the world are pooling in large amounts of resources to solve. In addition, countries all over the world, especially those south of the Sahara Desert have load shedding problem because electricity demand grows faster than the rate at which power plant capacities are increased. In order to ensure high power system stability and reliability with the added benefit of low running cost, while curbing climate change, some of these countries including Ghana are developing their power system around renewable energy resources such as solar. Countries in the tropical zone, specifically, African States have high solar energy potential across the entire region all over the year. However, the usage of solar energy for electricity generation is very low. One way to improve the efficiency of solar PV panels is to increase the energy density of the equipment by combining solar photovoltaic and solar thermal system in a technology known as Photovoltaic Solar Thermal (PV/T) Collector. The study focused on observing the performance of the PV/T system in terms of electrical energy efficiency, and total energy conversion efficiency using MATLAB software. This paper used climatic condition data for Navrongo Solar Power Plant in Ghana as a case study information for the work. The research established that, photovoltaic thermal system has a higher electrical efficiency than an ordinary PV panel (solar photovoltaic system) irrespective of the prevailing weather conditions. However, the thermal energy extracted contributed less than 1% to the overall energy conversation efficiency as a result of a very low flow rate of the working fluid (water).
- Page(s): 17-35
- Date of Publication: 14 September 2022
- Eben A. NORNORMEY Accra Institute of Technology, Faculty of Engineering, Department of Electrical Engineering, Accra, Ghana
- Reine Makafui McEBEN-NORNORMEY University of Mines and Technology, Faculty of Engineering, Department of Renewable Energy Engineering, Tarkwa,
- Daniel M. O. ADJIN Regent University College of Science & Technology, Faculty of Engineering, Computing & Allied Sciences, Accra, Ghana
- Emmanuel ATTA Accra Institute of Technology, Faculty of Business, Department of Business School, Accra, Ghana
- Nathaniel Awudu NELSON Accra Institute of Technology, Faculty of Engineering, Department of Electrical Engineering, Accra, Ghana
References
[1] Anon, “Renewables-Global Energy Review 2020-Analysis-IEA, 2020,” 2020. [Online]. Available: https://www.iea.org/reports/global-energy-review-2020/renewables. [Accessed 4 May 2022]. [2] I. a. B. –. H. A. Edjekumhene, “Power Sector Reform in Ghana: The Untold Story,” p. 47, 2001. [3] Anon, ““2019 Energy (Supply and Demand) Outlook for Ghana”, Energy Commission,,” p. 88, 2019. [4] I.-A. Report, “Energy Transition Central to Africa's Economic Future,” 14 Jan 2022. [Online]. Available: https://www.irena.org › pressreleases › 2022 › Jan › IR.. . [Accessed 29 May 2022]. [5] R. K. a. R. R. Musunuri, “Solar Thermal Energy,” p. 41, 2007. [6] R. J. a. H. M. J. Ellingson, “Energy for Planet Earth: The Role of Carbon Free Energy Sources,” p. 57, 2012. [7] International Energy Agency, (IEA),, World Energy Outlook 2020,, 2020. [8] H. G. M. W. Z. a. S. G. Zang, ““Determination of the Optimal Tilt Angle of Solar Collectors for Different Climates of China”, Sustainability,,” vol. 8, p. 1 – 16., 2016. [9] S. S. Y. R. &. J. R. K. Mughal, “ “A Review on Solar PhotovoltaicTechnology and Future Trends”,” International Journal of Scientific Research in Computer Science, Engineering and Information Technology, , pp. 227-235, 2018. [10] H. G. M. W. Z. a. S. G. Zang, ““Determination of the Optimal Tilt Angle of Solar Collectors for Different Climates of China”, Sustainability,,” vol. 8, p. 1 – 16., 2016. [11] M. Z. a. J. V. Jacobson, “World Estimates of PV Optimal Tilt Angles and Ratios of Sunlight Incident Upon Tilted and Tracked PV Panels Relative to Horizontal Panels”, Solar Energy,,,” vol. 169, p. 55 – 66. , 2018. [12] Anon, “The History of Solar”, U.S. Department of Energy,,” p. 12 , 2002. [13] Anon, “Photovoltaic Solar Energy Development and Current Research”, European Commission,,” p. 80 , 2012. [14] M. H. B. a. A. K. A. Muhammad Ammar Mingsukang, “ Third-Generation-Sensitized Solar Cells,,” no. DOI: 10.5772/65290, , Feb 22, 2017. [15] C. O. Assembe, “Integrated Solar Photovoltaic and Thermal System for Enhanced Energy Efficiency”,,” Cape Peninsula University of Technology, Cape Town,, Unpublished MSc Project Report,, 2016, p. 87 . [16] J. P., ““Solar Energy Resource Assessment Handbook”,,” p. 117 , 2009. [17] P. Jayakumar, ““Solar Energy Resource Assessment Handbook”,,” p. 117 , 2009. [18] P. A. Tayyebatossadat, ““Solar Electric and Solar Thermal Energy: A Summary of Current Technologies”,,” p. 40 , 2014. [19] D. K. D. L. G. T. a. J. K. Mangal, ““Acknowledgement of Evacuated Tube Solar Water Heater Over Flat Plate Solar Water Heater”,,” International Journal of Engineering (IJE), vol. 4, no. 4, p. 279–284., 2013. [20] A. H. K. H. A. S. K. B. a. C. M. T. Al-waeli, “‘’Photovoltaic Solar Thermal (PV/T) Collectors Past, Present and Future: A Review’’,,” International Journal of Applied Engineering Research,, p. 10757–10765., 2016 . [21] Evwind, “ GhanaCcompletes First Solar Plant in Navrongo,,” 8 May 2013. [Online]. Available: https://www.evwind.es › 2013/05/08 › ghana-completes.... [Accessed 2 Jun 2022]. [22] P. Q. E. K. L. A. T. A. N. a. K. B. Junior, ““Modeling the Spatial Distribution of Global Solar Radiation (GSR) Over Ghana Using the Angström-Prescott Sunshine Duration Model”,,” Scientific African, , vol. 4, p. 94 –106. , 2019. [23] M. Z. a. J. V. Jacobson, “ “World Estimates of PV Optimal Tilt Angles and Ratios of Sunlight Incident Upon Tilted and Tracked PV Panels Relative to Horizontal Panels”, Solar Energy,,” vol. 169, p. 55 – 66, 2018. [24] N. A. P. H. W. a. S. J. Rahim, ““Photovoltaic Module Modeling using Simulink/MATLAB”,,” Procedia Environmental Sciences, , vol. 17, p. 537 – 546. , 2013. [25] E. L. Meyer, ““Extraction of Saturation Current and Ideality Factor from Measuring Voc and Isc of Photovoltaic Modules”,” International Journal of Photoenergy, pp. 1-9., 2017. [26] X. H. a. N. M. P. Nguyen, “ “Mathematical Modeling of Photovoltaic Cell/Module/Arrays with Tags in MATLAB/Simulink”,” Environmental Systems Research, vol. 4, no. 1, pp. 1–13,, 2015.. [27] D. M. J. K. Poonam S Pardeshi, “Overall Efficiency of Photovoltaic Thermal (PV/T) System,,” International Journal of Engineering Research & Technology (IJERT) , vol. 02, no. 11, Nov 2013..
Eben A. NORNORMEY, Reine Makafui McEBEN-NORNORMEY, Daniel M. O. ADJIN, Emmanuel ATTA, Nathaniel Awudu NELSON, "Techno–Framework of Photovoltaic (PV) and Photovoltaic Thermal (PV/T) Systems" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.11 issue 6, August 2022, pp.17-35 URL: https://ijltemas.in/DigitalLibrary/Vol.11Issue8/17-35.pdf
An 8-week feeding trial was conducted to evaluate the potential of sweet potatoe (Ipomoea batatas) leaf meal as dietary protein source in the diet of Oreochromis niloticus fingerlings. Five isonitrogenous diets of 35% crude protein were formulated to contain 0, 5, 10, 15 and 20% sweet potato leaf meal (Diets 1-5) to partially replace fishmeal ingredients in the tilapia diet. The diet containing 0% leaf meal served as the control. Oreochromis niloticus fingerlings were reared in plastic aquarium. Each dietary treatment was tested in triplicate groups of 10 fingerlings per aquarium. The results of the growth and nutrient utilization responses showed that there were no significant (p>0.05) differences among the fish fed diets 1-4 (0-15% sweet potato leaf meal) but were significantly (p<0.05) differences in the group diet 5 (20% sweet potato leaf meal) when compared with the control treatment. The present findings showed that sweet potato leaf meal has good potential for use as one of the protein sources in Oreochromis niloticus diet up to 15% level without compromising growth.
- Page(s): 36-39
- Date of Publication: 14 September 2022
- Joshua, F. O. National Institute for Freshwater Fisheries Research, New Bussa, Niger State, Nigeria
- Ibiyo, L. M. O. National Institute for Freshwater Fisheries Research, New Bussa, Niger State, Nigeria
- Ogunshakin, R.Y.
National Institute for Freshwater Fisheries Research, New Bussa, Niger State, Nigeria
Agronomy Department, Faculty of Agriculture, University of Ilorin, Kwara state, Nigeria - Mogaji, O. Y. National Institute for Freshwater Fisheries Research, New Bussa, Niger State, Nigeria
- Woru H. National Institute for Freshwater Fisheries Research, New Bussa, Niger State, Nigeria
- Azeez.A National Institute for Freshwater Fisheries Research, New Bussa, Niger State, Nigeria
- Mohammed, B. National Institute for Freshwater Fisheries Research, New Bussa, Niger State, Nigeria
References
[1]. Afuang, W., P. Siddhuranju and K. Becker, (2003): Comparative nutritional evaluation of raw, methanol extract residues and methanol extract of moringa (Moringa oleifera Lam.) leaves on growth performance and feed utilization in Nile Tilapia. (Oreochromis niloticus L.). Aquaculture Res., 34:1147-1159.
[2]. Ali, M.A., T.H. Tageldin and E.M. Solaiman, (1999): Effect of sweet potato tops or roots in growing rabbit diets on growing performance, digestibility, carcass traits and economic efficiency. Egypt. J. Rabbit Sci., 9: 13-23.
[3]. An, L.V., (2004): Sweet potato leaves for growing pigs. Biomass yield, digestion and nutritive value. Doctor’s thesis, Swedish University of Agriculture Sciences, pp: 49.
[4]. Bairagi, A., K. Sarkar Ghash, S.K. Sen and A.K. Ray (2004): Evaluation of the nutritive value of Leucaena leucocephala leaf meal, inoculated with fish intestinal bacteria Bacillus subtilis and Bacillus circulans in formulated diets for rohu, Labeo rohita (Hamilton) fingerlings. Aquaculture Res., 35: 436-446.
[5]. Balarin, J.D. and J.P. Halton, (1979): Tilapia: A guide to their biology and culture in Africa. University of Stirling, Stirling, Scotland, UK.
[6]. Duncan, D.B., (1955): Multiple range and multiple F-tests. Biometrics, 11: 1-42.68: 359-367.
[7]. Ekenyem, B.U. and F.N. Madubuike, (2006): An assessment of Ipomoea asarifiolia leaf meal as feed ingredient in broiler chick production. Pak. J. Nutr., 5: 46-50.
[8]. Fagbenro, O. A., (1999): Comparative evaluation of heat processed winged bean (Psophocarpus tetragonolobus) meals as partial replacement for fishmeal in diets for African catfish (Clarias gariepinus). Aquaculture, 170: 297-305.
[9]. Francis, G., H.P.S. Makkar and K. Becker, (2001): The antinutritional factors present in plant-derived alternate fish feed ingredients and their effects in fish. Aquaculture, 119: 197-227.
[10]. Hong, N.T.T., M. Wanapat, C.K.P. Wachirapakorn and P. Rowlinson, (2003): Effect of timing of initial cutting and subsequent cutting on yields and chemical compositions of cassava hay and its supplementation on lactating dairy cows. Asian- Australian J. Anim. Sci., 16: 1763-1769:
[11]. Ishida, H., H. Suzuno, N. Sugiyama, S. Imami, T. Tadokoro and A. Meakawa, (2000): Nutritive value onchemical components of leaves, stalks and stem of sweet potato (Ipomoea batatas Poir), Food Chem.,
[12]. Ng, W.K. and K.L. Wee, (1989): The nutritive value of cassava leaf meal in pelleted feed for Nile Tilapia. Aquaculture, 83: 45-58.
[13]. Oyenuga, V.A., (1968): Nigeria’s foods and feeding-stuffs. The Chemistry and nutritive value. 3rd edition. The Caxton Press (West Africa) Ltd. Ibadan, 99p.
[14]. Reyes, O.S. and A.C. Fermin, (2003): Terrestrial leaf meals or freshwater aquatic fern as potential feed ingredients for farmed abalone Haliotis asinine (Linnaeus 1758). Aquaculture Res., 34: 593-599.
[15]. Rodriguez, S.M., N.M.A. Olvera and O.C. Carmona, (1996): Nutritional value of animal by product meal in practical diets for Nile Tilapia, Oreochromis niloticus (L) fry. Aquaculture Res., 27: 67-73.
[16]. Siddhuraju, P. and K. Becker, (200)1: Preliminary nutritional evaluation of mucuna seed meal (Mucuna pruriens (L.) DC var. utilis in common carp (Cyprinus carpio L.) an assessment by growth performance and feed utilization. Aquaculture, 196: 105-123.
[17]. Siddhuraju, P. and K. Becker, (2003): Comparative nutritional evaluation of differentially processed mucuna seeds (Mucuna pruriens (L.) DC var. utilis (Wall ex Wight) Baker ex Burck, on growth performance, feed utilization and body composition in Nile Tilapia (Oreochromis niloticus L.), Aquaculture, 34: 487-500
[18]. Woolfe, J.A., (1992): Sweet potato an untapped food resource. Cambridge University press, Cambridge, pp: 643.
[19]. Yousif, O.M., G.A. Alhadhrami and M. Passaraki, (1994): Evaluation of dehydrated alfalfa and Saltbush Atriplex) leaves in diets for Tilapia (Oreochromis aureus L.). Aquaculture, 126: 341-347.
Joshua, F. O., Ibiyo, L. M. O., Ogunshakin, R.Y., Mogaji, O. Y., Woru H., Azeez.A and Mohammed, B., "Potentials of Sweet Potato (Ipomoea batatas) Leaf Meal as Dietary Ingredient for Oreochromis niloticus Fingerlings" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.11 issue 6, August 2022, pp.36-39 URL: https://ijltemas.in/DigitalLibrary/Vol.11Issue8/36-39.pdf